Acrylate polymers are an important cause of allergic contact dermatitis. Over the last decades, the vector of allergy to methacrylic acid esters has shifted from industrial products to the beauty and medical industries. In the described clinical case, the potential risk of sensitization to 2-hydroxyethyl methacrylate, a component of medical products, is emphasized, particularly in patients working in the cosmetology field. The authors present a clinical case of allergic contact dermatitis caused by 2-hydroxyethyl methacrylate, a component of the adhesive in a medical plaster. Basic diagnostic measures, including allergodiagnostics using a patch test, were conducted. Based on the collected data, the diagnosis was verified, and therapy for allergic contact dermatitis was prescribed according to the international clinical treatment protocol. The increasing number of cases of allergic contact dermatitis caused by acrylate compounds in medical materials requires further investigation and the implementation of effective preventive measures to ensure patient safety.

<b>Background:</b> Allergic rhinitis is a recurrent inflammation of the nasal mucosa that is triggered by various allergens and has an extremely negative impact on the quality of a patient's life. With the increasing morbidity of seasonal allergic rhinitis worldwide, the possibility of a deterioration in the course of the disease must be taken into account. Consequently, its prompt diagnosis is essential. High levels of total immunoglobulin E, eosinophil cationic protein and eosinophil count, along with appropriate clinical data, are associated with allergic rhinitis. However, studies regarding the relation of allergic reaction predictors with severity of allergic rhinitis symptoms are currently insufficient and inconsistent. <b>The objective of this study</b> was to determine the total immunoglobulin E (IgE), eosinophil cationic protein (ECP) and eosinophil count in blood serum and to identify the relationship of each parameter with the severity of seasonal allergic rhinitis. <b>Methods:</b> This cross-sectional study was conducted in the regional allergological center “DiVera” which is located in Karaganda city (central Kazakhstan). In order to perform statistical analysis, we used initial levels of seasonal allergic rhinitis markers and 4-point scale aspects for assessing symptoms (Daily Symptom Score). Allergic rhinitis markers were identified by using automatic modular and immunological analyzers. The study involved 49 patients aged 18-60 years with a diagnosis of seasonal allergic rhinitis. Verification of the diagnosis was carried out on the basis of a positive allergic anamnesis, objective and subjective patients data. Statistical analysis was performed using the “Statistica” software version 13.0 for Windows. The results were analyzed using descriptive statistics, and Spearman's rank correlation coefficient was applied to determine the relations between the studied parameters. <b>Results:</b> The study revealed a positive direct, strong statistically significant relationship (p<0.05) of all three serological markers - immunoglobulin E (r=0.96), eosinophilic cationic protein (r=0.91), and eosinophil count (r=0.86) with symptom severity of allergic rhinitis. <b>Conclusion:</b> This correlation analysis revealed a relation of eosinophil count, total IgE and eosinophil cationic protein levels to symptom severity in seasonal allergic rhinitis. The concentration of serological markers could be an important predictor of allergic sensitization, particularly in adult patients.

Aim: The drying out region of the Aral Sea - the largest ecological disaster of anthropogenic origin. Establishment of the cause-and-effect relationship of formation of diseases among the adult population under the influence of environmental-hygienic factors. Methods: The article identifies the relationship between somatic diseases in the surveyed population and identifies the leading type of aberrations under influence of ecological factors in this region. Results: The article presents the results of multidimensional statistical analysis (correlation, linear and nonlinear regression, logistic) with the gradual establishment of the presence of the influence of the environmental factor on the development of a particular nosology and determining the significance of this influence, and also the prediction of the incidence growth with an increase in the level of the environmental factor was assessed. Conclusion: This article provides the leading nosologies from the main classes of diseases throughout the Aral Sea region.

The purpose of the article is to analyze the trade sector of Azerbaijan for the last decades and to determine the competitive advantages of the agricultural sector. Research methods. Due to analysis current situation, Reveal Competitive Advantage, Herfindahl-Hirschman market concentration index and descriptive statistical analysis are used in this paper. Research results. The Agricultural sector can be one of the main drivers of economic development in natural resource-rich countries. On the other hand, due to crowding out effect of oil sector, agricultural sector lags behind of its potential. At the same time, trade dependency on oil related sectors and diversification of export products and destinations are very significant for the future economic perspectives of resource-rich countries. Scientific novelty. Our analysis show that Azerbaijan’s dependency on natural resources affected significantly on export diversification and country need to diversify its exported product and export destinations to ensure trade security. Furthermore, analysis reveals that agricultural products have tremendous potential to be globally competitive in compare to other produced goods in the country. Practical significance. Current and forward-looking research on export trends, RCA issues and export diversification will help government agencies and government agencies to monitor and develop current strategies to overcome the negative effects of resource dependence in Azerbaijan. Tabl.: 6. Figs.: 4. Refs.: 33.